package com.mapreduce;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import java.net.URI;

public class TearSort extends Configured implements Tool {

    @Override
    public int run(String[] strings) throws Exception {
        Configuration conf = getConf();
        conf.set("mapreduce.input.keyvaluelinerecordreader.key.value.separator",",");
        // 指定输入输出路径
        Path input = new Path(
                "hdfs://192.168.10.11:9000/sortdat");
        Path output = new Path(
                "hdfs://192.168.10.11:9000/sortoutput");

        FileSystem fs = FileSystem.get(
                new URI("hdfs://192.168.10.11:9000")
                , conf);
        if (fs.exists(output)) fs.delete(output, true);
        //构建Job
        Job job = Job.getInstance(conf);
        job.setJobName("year");
        job.setJarByClass(this.getClass());

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(Text.class);
        job.setSortComparatorClass(Sort.class);
        // 设置reduce个数，也就是分区数

        job.setNumReduceTasks(1);

        job.setInputFormatClass(KeyValueTextInputFormat.class);
        KeyValueTextInputFormat.addInputPath(job,input);
        TextOutputFormat.setOutputPath(job,output);

        return job.waitForCompletion(true)?0:-1;
    }

    public static void main(String[] args) throws Exception {
        System.exit(ToolRunner.run(new TearSort(),args));
    }
}
